U-MAP: A System for Usage-Based Schema Matching and Mapping
Summary: U-MAP uses query logs to infer cross-schema correspondences and transform rules for data integration. It demonstrates novel log-driven features that embed usage data into core mapping components, improving schema matching and data reshaping. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hazem Elmeleegy (AT&T)
- 2. Jaewoo Lee (Purdue University)
- 3. El Kindi Rezig (Purdue University)
- 4. Mourad Ouzzani (Purdue University)
- 5. Ahmed Elmagarmid (Qatar Computing Research Institute)
BibTeX Citation
@inproceedings{elmeleegy_sigmod11,
title = {{U-MAP: A System for Usage-Based Schema Matching and Mapping}},
author = {Elmeleegy, Hazem and Lee, Jaewoo and Rezig, El Kindi and Ouzzani, Mourad and Elmagarmid, Ahmed},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989478},
url = {https://dl.acm.org/doi/10.1145/1989323.1989478},
year = {2011}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,422 | Leveraging Query Logs for Schema Mapping Generation in U-MAP | 2011 | SIGMOD | 5.2723842e-05 |
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